Iminerelated

Iminerelated is a term used in information science and related fields to categorize topics that concern information mining, data mining, and knowledge discovery from large datasets. It functions primarily as an umbrella tag or descriptor in documentation, educational material, and collaborative knowledge bases to group methods, concepts, and applications that deal with extracting actionable insights from data.

The scope of iminerelated includes techniques such as clustering, classification, association rule mining, anomaly detection, feature engineering, data preprocessing, and evaluation metrics. It also covers data integration, data cleaning, and privacy-preserving data mining. Applications span business analytics, healthcare, finance, cybersecurity, and social media analysis. The term is commonly associated with analytics platforms, programming libraries, and visualization tools used to implement information mining workflows.

Etymology and usage: the term iminerelated is a portmanteau of information mining and related, and it is used informally in some wikis, course catalogs, and documentation to denote topics linked to information mining without restricting coverage to a single technique. Its adoption varies by community and it is not a formal standard in all information science disciplines.

See also data mining, knowledge discovery in databases, information retrieval, machine learning, data science.